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Dissertation 4.7

Data Quality And Bias in Food Security for Hospitality Operators: 2020–2027 Trends

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~ 17–24 mins
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IoT Data Privacy UX
Abstract

This dissertation investigates “Data Quality And Bias in Food Security for Hospitality Operators: 2020–2027 Trends” using a systematic literature review. Through a behavioral lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in Food Security for Hospitality Operators: 2020–2027 Trends

ABSTRACT
Data Quality And Bias in Food Security for Hospitality Operators: 2020–2027 Trends is unpacked across themes: KPIs, governance, change enablement, and equity. Limitations and future research paths are noted.
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